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Related Concept Videos

Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

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Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...
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Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

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Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
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Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

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Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
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Related Experiment Video

Updated: Oct 22, 2025

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
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Radiomics and Prostate MRI: Current Role and Future Applications.

Giuseppe Cutaia1, Giuseppe La Tona1, Albert Comelli2

  • 1Section of Radiology, BiND, University Hospital "Paolo Giaccone", University of Palermo, Via del Vespro 129, 90127 Palermo, Italy.

Journal of Imaging
|August 30, 2021
PubMed
Summary
This summary is machine-generated.

Radiomics analysis of multiparametric prostate magnetic resonance imaging (mpMRI) enhances prostate cancer detection and characterization. This approach aids in predicting tumor aggressiveness and recurrence, improving patient management.

Keywords:
Gleason scoreartificial intelligencelocalmultiparametric magnetic resonance imagingneoplasm recurrenceprostate cancer

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Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
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Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging Analysis

Background:

  • Multiparametric prostate magnetic resonance imaging (mpMRI) is crucial for evaluating men at risk of prostate cancer.
  • Traditionally, mpMRI focused on staging, but its role is expanding.
  • Radiomics offers quantitative image analysis for improved lesion characterization.

Purpose of the Study:

  • To review the application of radiomics in prostate mpMRI for cancer detection and localization.
  • To explore radiomics' role in predicting Gleason score, PI-RADS classification, extracapsular extension, and biochemical recurrence.
  • To discuss the future integration of artificial intelligence (AI) in prostate cancer imaging.

Main Methods:

  • Review of current literature on radiomics applied to prostate mpMRI.
  • Analysis of radiomics' utility in various aspects of prostate cancer assessment.
  • Exploration of machine learning and deep learning in prostate cancer imaging.

Main Results:

  • Radiomics shows promise in detecting and localizing prostate cancer lesions on mpMRI.
  • It aids in predicting key clinical parameters like Gleason score and PI-RADS classification.
  • Radiomics can help predict extracapsular extension and biochemical recurrence risk.

Conclusions:

  • Radiomics is a valuable tool for enhancing prostate mpMRI's diagnostic capabilities.
  • It offers predictive insights into cancer aggressiveness and treatment response.
  • AI integration holds significant future potential for prostate cancer management through imaging.